MECHANISMS OF INFORMATION SEEKING IN THE PRIMATE BRAIN

灵长类大脑中的信息搜索机制

• 批准号: 9912201
• 负责人: Ilya E. Monosov
• 金额: $ 39.34万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-10 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9912201
• 关键词: Anatomy; Animals; Anterior; Anxiety; Area; Basal Ganglia; Behavior; Behavior Control; Behavioral; Brain; Brain region; Cell Nucleus; Choice Behavior; Choices and Control; Clinical; Cognition; Computer Models; Corpus striatum structure; Cues; Curiosities; Data; Decision Making; Dorsal; Drug Addiction; Emotions; Evaluation; Event; Future; Globus Pallidus; Habenula; Human; Individual; Internal Capsule; Knowledge; Laboratories; Lateral; Learning; Light; Mediating; Mental disorders; Monitor; Motivation; Neurobiology; Neurons; Obsessive-Compulsive Disorder; Outcome; Play; Population; Primates; Process; Punishment; Rewards; Risk; Role; Signal Transduction; Structure; System; Testing; Uncertainty; Universities; Washington; base; cingulate cortex; design; expectation; experimental study; information seeking behavior; mind control; motivated behavior; neural network; theories

Project Summary. The brain systems that control our motivation, emotions, and decisions rely at their most fundamental level on predicting the future: learning what rewards and punishments to expect, when they will arrive, and how valuable they will be. It is only natural that we are strongly motivated to seek information that will reduce our uncertainty about future events. Indeed, not only do humans and other animals choose to observe cues that inform them about future motivational outcomes, they are willing to pay for the privilege – and remarkably, they pay for information even when they cannot use it to influence the outcome, effectively treating the knowledge itself as a reward. Despite its importance in everyday decision making and clinical settings, little is known about how this information seeking behavior is generated and governed – how the brain anticipates information, endows it with value, and sends it to motivational circuits to drive behavior. We identified set of anatomically connected cortical and subcortical brain areas, including the anterior cingulate cortex and specific subregions of the basal ganglia (BG), that encode the quantitative level of reward uncertainty. Does this set of brain areas mediate the drive to seek advance information to reduce uncertainty, and if so, how? Aim 1 will first test whether and how uncertainty-selective neurons in the cortico-BG network anticipate the arrival of information about future rewards and punishments. Preliminary data suggest that the cortico-BG network anticipates information that resolves reward uncertainty (as dissociated from simple anticipation of valuable and/or uncertain rewards). Next, aim 1 will transiently disrupt specific uncertainty- sensitive subregions in the cortico-BG network to assess their contributions to information seeking, and to neuronal activity in other subregions of the network. Preliminary data suggest that the information-anticipation signals in the BG play an active role in mediating information seeking. Aim 2 will use a carefully designed decision-making paradigm in which primates pay to obtain information under different levels of reward uncertainty, combined with computational modelling, to quantitatively determine how information, uncertainty, and value signals in the cortico-BG network contribute to motivated decision making, including the evaluation of information, risk, and value. Next, aim 2 will use the same paradigm to elucidate information and reward value processing in the lateral habenula (LHb), a key structure for the control of motivation. Preliminary data indicate that BG information signals track the subjective value of obtaining information and that the LHb is a prime candidate for receiving these signals and generating information-seeking behavior. The Aims represent crucial steps for our understanding of the neurobiology of motivated behavior, will broaden our understanding of the mechanisms of information seeking and uncertainty reduction, and will shed light on how brain areas known to be crucially involved in human psychiatric disorders, but that have not been commonly studied in the primate, contribute to our decisions and actions.

项目摘要。控制我们的动机、情绪和决定的大脑系统最依赖于 预测未来的基本层面：学习预期的奖励和惩罚，以及它们将在何时发生 到达，以及它们将会有多值钱。我们有强烈的动机寻求信息是很自然的 将减少我们对未来事件的不确定性。事实上，不仅人类和其他动物选择 观察那些让他们知道未来激励结果的线索，他们愿意为这种特权买单- 值得注意的是，即使他们不能有效地利用信息来影响结果，他们也会为信息付费 将知识本身视为一种奖励。尽管它在日常决策和临床上很重要 关于这种信息寻找行为是如何产生和控制的，我们知之甚少--大脑是如何产生和控制的 预测信息，赋予其价值，并将其发送到激励电路以驱动行为。 我们确定了一组解剖上相连的皮质和皮质下脑区，包括前扣带回 皮层和基底节(BG)的特定亚区，编码奖励的量化水平 不确定性。这组大脑区域是否调节了寻求提前信息以减少不确定性的动力， 如果是这样的话，是如何做到的？目标1将首先测试皮质-BG网络中的不确定性选择性神经元是否以及如何 期待未来奖惩信息的到来。初步数据显示， 皮质-BG网络预测解决奖励不确定性的信息(从简单的 预期有价值的和/或不确定的回报)。接下来，目标1将暂时扰乱特定的不确定性- 大脑皮层-大脑皮层网络中的敏感次区域，以评估它们对寻求信息的贡献，并 神经网络其他亚区的神经元活动。初步数据显示，信息预期 大脑皮层中的信号在信息寻求中起着积极的调节作用。Aim 2将使用精心设计的 灵长类在不同奖励水平下付费获取信息的决策范式 不确定性，与计算模型相结合，以定量地确定信息、不确定性、 皮质-BG网络中的价值信号有助于做出激励决策，包括评估 信息、风险和价值。接下来，目标2将使用相同的范式来阐明信息和奖励 外侧缰核(LHb)的价值加工是控制动机的关键结构。初步数据 表示BG信息信号跟踪获得信息主观价值，且LHB是 接收这些信号并产生信息寻求行为的最佳候选者。 这些目标代表了我们对动机行为的神经生物学理解的关键一步，将扩大 我们对信息寻求和减少不确定性的机制的理解，将有助于 已知的大脑区域如何与人类精神障碍密切相关，但尚未得到证实 通常在灵长类动物中研究，有助于我们的决定和行动。